GPU Energy Modeling and Analysis Engineer

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$184,700–$324,800 / yr
Posted
1 day ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $220k
This role $255k
$147k most similar roles pay here $344k

This role pays more than 83% of similar roles. Most pay $184,675–$254,600 — the shaded band above. At the midpoint, this role pays about $255k versus about $220k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 2305 open roles on FindRole.

Listed pay typically runs $175,000–$280,000 across 1873 roles with salary data.

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At a glance

TL;DR · GPU Energy Modeling and Analysis Engineer

As a GPU Energy Modeling and Analysis Engineer within the Silicon Technologies group, you will support power activity for high-performance, power-efficient GPU development. You will develop micro-architectural level energy models for early power estimation, what-if analysis, and performance per watt tradeoff studies. Your daily responsibilities include analyzing power consumption across the GPU to identify reduction opportunities, developing tools for measurement and visualization, and conducting directed studies to prototype architectural improvements. You will collaborate with driver, compiler, and application engineers to drive power reduction techniques through software and hardware optimizations. The role requires expertise in computer architecture, low-power ASIC design, and data mining of energy consumption across various workloads. Required technical skills include proficiency in Python or similar scripting languages, with optional experience using Tableau or Splunk for data analysis and visualization.

What you'll do

  • Develop micro-architectural energy models for early power estimation and performance-per-watt tradeoff analysis.
  • Analyze GPU power consumption to identify specific opportunities for energy reduction.
  • Drive power reduction techniques across the hardware and software stack through architectural and compiler improvements.
  • Create tools to measure, visualize, and analyze GPU energy consumption data.
  • Conduct directed studies to prototype architectural solutions for next-generation GPUs.
  • Mine and analyze large datasets of workload energy consumption to identify high-ROI optimization opportunities.

What we're looking for

  • Knowledge of computer architecture.
  • Experience investigating energy reduction ideas across the HW/SW stack and driving directed studies of PPA tradeoffs.
  • Experience in data mining and analyzing energy consumption across a wide set of workloads to identify high ROI opportunities.
  • Knowledge of low power ASIC design.
  • Proficiency in Python or similar scripting languages.
  • Experience with Tableau and/or Splunk (preferred).
  • Ability to work well in a team and be productive under aggressive schedules (preferred).
  • Excellent communication skills, self-motivated, and well organized (preferred).

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